Practical Machine Learning Coursera
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Updated
Jun 21, 2014 - R
Machine learning is the practice of teaching a computer to learn. The concept uses pattern recognition, as well as other forms of predictive algorithms, to make judgments on incoming data. This field is closely related to artificial intelligence and computational statistics.
Practical Machine Learning Coursera
NLP Text Prediction machine learning app under 10MB <2 sec response time
ℹ️ Application of Machine Learning techniques to identify randomly distorted capital letters in the English alphabet.
Performs OCR on the MNIST dataset. From my BSc. AI & Robotics at Prifysgol Aberystwyth
Sample analysis of NEI public data about air contamination in USA
Repository of R code for all lab exercises in the book "An Introduction to Statistical Learning"
Using data mining to predict the structure of proteins. Kaggle in class competition https://inclass.kaggle.com/c/ugr14b-protein-structure-prediction
Application of Decision Tree C5.0, Random Forest, K-NN, Artificial Neural Network, Naive-Bayes algorithms in a Project using R
My experiments with R the programming language
A collection of small-sample, high-dimensional microarray data sets to assess machine-learning algorithms and models.
My first Kaggle data science competition: prediction of country destination of new users on Airbnb
Empirical Agent Training Software for Machine Learning Simulation Modeling
Sensitivity Analysis for Understanding Complex Computational Models
🍷 CS559/659 Machine Learning Final Project on Predicting Wine Quality
Data Science projects of popular datasets with R Data,ML ecosystem